10 of 10 Remote Workflow Jobs in Buckinghamshire

coordinating across multi-disciplinary teams. Experience working with Agile methodologies. Deep understanding of data lifecycle management, data-as-a-product thinking, and value-driven delivery. Proficiency with backlog and workflow tools (e.g. Jira, Azure DevOps, Miro, or Confluence). The position is hybrid with the expectation to work 2/3 days per month from a Milton Keynes office. Please More ❯

coordinating across multi-disciplinary teams. Experience working with Agile methodologies. Deep understanding of data lifecycle management, data-as-a-product thinking, and value-driven delivery. Proficiency with backlog and workflow tools (e.g. Jira, Azure DevOps, Miro, or Confluence). The position is hybrid with the expectation to work 2/3 days per month from a Milton Keynes office. Please More ❯

coordinating across multi-disciplinary teams. Experience working with Agile methodologies. Deep understanding of data lifecycle management, data-as-a-product thinking, and value-driven delivery. Proficiency with backlog and workflow tools (e.g. Jira, Azure DevOps, Miro, or Confluence). The position is hybrid with the expectation to work 2/3 days per month from a Milton Keynes office. Please More ❯

Keynes, UK. Key Responsibilities/Skills Develop & Schedule SQL Views via DAGs Design and implement SQL views aligned with business needs, prioritizing clarity, reusability, and efficiency. Build and manage workflow orchestrations (e.g., Airflow DAGs) to automate those views, ensuring reliable execution on daily, weekly, or customized schedules. Execute Cross‐Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue More ❯

Keynes, UK. Key Responsibilities/Skills Develop & Schedule SQL Views via DAGs Design and implement SQL views aligned with business needs, prioritizing clarity, reusability, and efficiency. Build and manage workflow orchestrations (e.g., Airflow DAGs) to automate those views, ensuring reliable execution on daily, weekly, or customized schedules. Execute Cross‐Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue More ❯

Keynes, UK. Key Responsibilities/Skills Develop & Schedule SQL Views via DAGs Design and implement SQL views aligned with business needs, prioritizing clarity, reusability, and efficiency. Build and manage workflow orchestrations (eg, Airflow DAGs) to automate those views, ensuring reliable execution on daily, weekly, or customized schedules. Execute Cross Platform ETL with AWS Glue Develop, deploy, and maintain AWS Glue More ❯

knowledge of AC split systems - a plus, but not essential. Strong safety and environmental awareness , maintaining high operational standards. Digital fluency , including CAFM systems and email for task and workflow management. Clear communicator and team player , able to report issues and collaborate effectively. Problem-solver with adaptability , attention to detail, and a drive for continuous improvement - including flexibility to travel More ❯

knowledge of AC split systems - a plus, but not essential. Strong safety and environmental awareness , maintaining high operational standards. Digital fluency , including CAFM systems and email for task and workflow management. Clear communicator and team player , able to report issues and collaborate effectively. Problem-solver with adaptability , attention to detail, and a drive for continuous improvement - including flexibility to travel More ❯

knowledge of AC split systems - a plus, but not essential. Strong safety and environmental awareness , maintaining high operational standards. Digital fluency , including CAFM systems and email for task and workflow management. Clear communicator and team player , able to report issues and collaborate effectively. Problem-solver with adaptability , attention to detail, and a drive for continuous improvement - including flexibility to travel More ❯

and setting up rollback/recovery processes. Using MLOps tools (e.g., Vertex Pipelines, Kubeflow, Weights & Biases) for experiment tracking, model registry, and automated deployment. Leveraging Docker/Kubernetes and workflow orchestration tools (Airflow, Prefect, Dagster). Collaborating with product, design, and engineering teams to deliver ML features that directly impact customer experience. Translating model performance into business metrics (e.g., accuracy … in larger, mature organizations or teams operating at significant scale (e.g., web-scale, distributed systems, cloud-native environments). Brings expertise in MLOps: CI/CD pipelines, Docker, Kubernetes, workflow orchestration (Airflow, Prefect), and automation. Has experience across and understands the full ML lifecycle. Can design for long-term scalability, reliability, and resilience. Has strong programming skills with Python – essential. More ❯